Density-based outliers in labor market text act as leading indicators of new occupational clusters, with an extended Emerging Occupation Score predicting formation 2 quarters ahead at F1=0.74 on 84,988 postings.
and Levy, Frank and Murnane, Richard J
6 Pith papers cite this work. Polarity classification is still indexing.
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Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.
The authors propose a retrieval-augmented framework that grounds AI exposure labels for 18,796 O*NET occupation-task pairs in retrieved news and academic abstracts, outperforming zero-shot prompting in 72% of disagreements and aligning better with observed real-world usage.
Post-ChatGPT, AI-exposed Upwork job categories exhibit declining human capital importance and rising price importance in labor demand, consistent with commoditization.
AI-saturated markets will produce premiums for verified human presence in labor, requiring governance to treat human-provenance verification as infrastructure rather than optional authenticity labels.
Proposes GAGI, a publicly computable index adjusting GDP per capita for inequality and prices to monitor welfare-adjusted prosperity in G7 economies from 2010-2026.
citing papers explorer
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Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text
Density-based outliers in labor market text act as leading indicators of new occupational clusters, with an extended Emerging Occupation Score predicting formation 2 quarters ahead at F1=0.74 on 84,988 postings.
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Process Utility in High-Stakes Competition
Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.
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Jobs' AI Exposure Should Be Measured from Evidence, Not Model Priors
The authors propose a retrieval-augmented framework that grounds AI exposure labels for 18,796 O*NET occupation-task pairs in retrieved news and academic abstracts, outperforming zero-shot prompting in 72% of disagreements and aligning better with observed real-world usage.
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Human Capital, AI, and Labor Commoditization
Post-ChatGPT, AI-exposed Upwork job categories exhibit declining human capital importance and rising price importance in labor demand, consistent with commoditization.
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Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
AI-saturated markets will produce premiums for verified human presence in labor, requiring governance to treat human-provenance verification as infrastructure rather than optional authenticity labels.
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GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring
Proposes GAGI, a publicly computable index adjusting GDP per capita for inequality and prices to monitor welfare-adjusted prosperity in G7 economies from 2010-2026.